A Bibliometric Review of Deep Learning Approaches in Skin Cancer Research

Computation, Journal Year: 2025, Volume and Issue: 13(3), P. 78 - 78

Published: March 19, 2025

Early detection of skin cancer is crucial for successful treatment and improved patient outcomes. Medical images play a vital role in this process, serving as the primary data source both traditional modern diagnostic approaches. This study aims to provide an overview significant medical highlight developments use deep learning early diagnosis. The scope survey includes in-depth exploration state-of-the-art methods, evaluation public datasets commonly used training validation, bibliometric analysis recent advancements field. focuses on publications Scopus database from 2019 2024. search string find articles by their abstracts, titles, keywords, several datasets, like HAM ISIC, ensuring relevance topic. Filters are applied based year, document type, language. identified 1697 articles, predominantly comprising journal conference proceedings. shows that number has increased over past five years. growth driven not only developed countries but also developing countries. Dermatology departments various hospitals advancing methods. In addition identifying publication trends, reveals underexplored areas encourage new explorations using VOSviewer Bibliometrix applications.

Language: Английский

A lightweight PCT-Net for segmenting neural fibers in low-quality CCM images

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 190, P. 110051 - 110051

Published: March 23, 2025

Language: Английский

SAMBV: A Fine-tuned SAM with Interpolation Consistency Regularization for Semi-supervised Bi-ventricle Segmentation from Cardiac MRI

Medical Engineering & Physics, Journal Year: 2025, Volume and Issue: unknown, P. 104341 - 104341

Published: April 1, 2025

Language: Английский